Cognitive function and its associations in older adults from Amazonas, Brazil

Autores

  • Maria Antonieta de Campos Tinôco Federal Institute of Education, Science and Technology, Amazonas, Manaus, Amazonas, Brazil. https://orcid.org/0000-0002-8570-8213
  • Élvio Rúbio Gouveia Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland. Department of Physical Education and Sports, University of Madeira, Funchal, Ilha da Madeira, Portugal. Institute of Interactive Technology, University of Madeira, Funchal, Ilha da Madeira, Portugal. https://orcid.org/0000-0003-0927-692X
  • Andreas Ihle Department of Psychology, University of Geneva, Geneva, Switzerland. Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland. https://orcid.org/0000-0001-9845-5190
  • Matthias Kliegel Department of Psychology, University of Geneva, Geneva, Switzerland. Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland. https://orcid.org/0000-0002-2001-2522
  • Jefferson Jurema Department of Physical Education and Sports, Amazonas State University, Manaus, Amazonas, Brazil. https://orcid.org/0000-0002-2369-4557
  • Floramara Teles Machado Department of Physical Education and Sports, Amazonas State University, Manaus, Amazonas, Brazil. https://orcid.org/0000-0002-0793-4151
  • Angeany Pinto Odim Department of Physical Education and Sports, Amazonas State University, Manaus, Amazonas, Brazil. https://orcid.org/0000-0001-7077-3066
  • Bárbara Régia Muniz Manaus City Hall – City Department of Youth, Sports and Leisure, Manaus, Amazonas, Brazil. https://orcid.org/0000-0001-9984-4112
  • Euler Esteves Ribeiro School of Medicine, Amazonas State University, Manaus. Open University for Senior Citizens, Amazonas State University, Manaus. School of Medicine, Pontifical Catholic University, Porto Alegre, Rio Grande do Sul, Brazil. https://orcid.org/0000-0003-3878-1933
  • Bruna Raquel Gouveia Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland. Institute of Interactive Technology, University of Madeira, Funchal, Ilha da Madeira, Portugal. School of Nursing, São José de Cluny, Funchal, Ilha da Madeira, Portugal. Institute of Health Management and Social Affairs, Funchal, Ilha da Madeira, Portugal. https://orcid.org/0000-0001-7706-190X
  • Duarte Luís Freitas Department of Physical Education and Sports, University of Madeira, Funchal, Ilha da Madeira, Portugal. Department of Mathematical Sciences, University of Essex, Colchester, United Kingdom. https://orcid.org/0000-0001-6642-3370

DOI:

https://doi.org/10.12820/rbafs.23e0013

Palavras-chave:

Older adults, Cognitive function, Socioeconomic status

Resumo

Os objetivos deste estudo foram: (1) investigar as diferenças associadas à idade na função cognitiva (FC), status nutricional (MNA), atividade física (AF), qualidade de vida (QV), depressão, satisfação social (SS) e estatuto socioeconômico (ESSE), e (2) explorar as relações entre a FC e as varáveis anteriores. Este estudo, de natureza transversal, incluiu 268 homens e 433 mulheres (71,4 ± 7,0 anos de idade). A FC foi determinada a partir do Cognitive Telephone Screening Instrument (COGTEL) e do Mini-Mental State Examination (MMSE). Os preditores analisados incluíram: o Mini Nutritional Assessment (MNA), a AF (questionário de Baecke modicado para idosos), a QV (SF-12), a Escala de Depressão em Geriatria (GDS), a Escala de Satisfação com o Suporte Social e o ESSE (Estatuto Socioeconômico). Todos os instrumentos foram aplicados sob forma de entrevista. Um t-teste de medidas independentes identificou scores significativamente mais elevados nos adultos-idosos mais jovens (60 - 69 anos de idade) na FC (p < 0,001), AF (p = 0,046) e ESSE (p = 0,007), comparativamente aos mais idosos (70 - 91 anos de idade). Os resultados da análise de regressão linear múltipla indicaram que os preditores mais significativos da FC foram: ESSE (β = 0,45; p < 0,001), idade (β = -0,12; p < 0,001), SS (β = 0,12; p = 0,001), GDS (β = -0,11; p = 0,003) e QV (β = 0,08; p = 0,017). O modelo de regressão testado, explicou 36% da variância total do COGTEL. As pessoas mais idosas e deprimidas obtiveram scores mais baixos na FC. Este estudo sugere que entre os preditores estudados, o ESSE é a variável mais forte na explicação da FC nos adultos idosos.

Downloads

Não há dados estatísticos.

Biografia do Autor

Maria Antonieta de Campos Tinôco, Federal Institute of Education, Science and Technology, Amazonas, Manaus, Amazonas, Brazil.

Lecionação nos Departamentos de Educação Física e Desporto e de Arte do Instituto Federal de Educação, Ciência e Tecnologia do Amazonas: Professor de Ensino Médio e Técnico Integrado em regime de dedicação exclusiva. 

Referências

1. Rowe JW, Kahn RL. Successful aging. Gerontologist. 1997;37(4):433–40.
2. Zhao E, Tranovich MJ, Wright VJ. The role of mobility as a protective factor of cognitive functioning in aging adults: a review. Sports Health. 2014;6(1):63-9.
3. Ribeiro PCC, Yassuda M. Cognição, estilo de vida e qualidade de vida na velhice. In: Neri AL. (ed). Qualidade de vida na velhice: enfoque multidiciplinar. Campinas: Atheneu; 2007. p. 189-209.
4. Kliegel M, Martin M, Jager T. Development and validation of the Cognitive Telephone Screening Instrument (COGTEL) for the assessment of cognitive function across adulthood. J Psychol. 2007;141(2):147-70.
5. Barros J. Psicologia do envelhecimento e do idoso. 4. ed. Porto: Livpsic; 2010.
6. Andrews-Hanna J, Snyder A, Vincent J, Lusting C, Head D, Raichle M, et al. Disruption of large-scale brain systems in advanced aging. Neuron. 2007;56(5):924-35.
7. Gunning-Dixon F, Raz N. The cognitive correlates of white matter abnormalities in normal aging: a quantitative review. Neuropsychology. 2000;14(2):224-32.
8. Wang H, Karp A, Winblad B, Fratiglioni L. Late-Life engagement in social and leisure activities is associated with a decreased risk of dementia: a longitudinal study from the Kungsholmen Project. Am J Epidemiol. 2002;155(12):1081-87.
9. Covel G, Hoffman-Snyder C, Wellik K, Woodruff B, Geda Y, Caselli R, et al. Physical activity level and future risk of mild cognitive impairment or dementia: a critically appraised topic. Neurologist. 2015;19(3):89-91.
10. Malara A, Sgrò G, Caruso C, Ceravolo F, Curinga G, Renda GF, et al. Relationship between cognitive impairment and nutritional assessment on functional status in Calabrian long-term-care. Clin Interv Aging. 2014;9:105-10.
11.Gallo JJ, Rebok GW, Tennstedt S, Wadley EG, Horgas A. The Advanced Cognitive Training for Independent and Vital Elderly (Active) Study Investigators. Aging Ment Health. 2003;7(6):469-80.
12. Fratiglioni L, Wang HX, Ericsson K, Maytan M, Winblad B. Influence of social network on occurrence of dementia: a community-based longitudinal study. Lancet. 2000;355(9212):1315-9.
13. Wee LE, Yeo WX, Yang GR, Hannan N, Lim K, Chua C, et al. Individual and area level socieconomic status and its association with cognitive function and impairment (Low MMSE) among community-dwelling elderly in Singapore. Dement Geriatr Cogn Dis Extra. 2012;2(1):529-42.
14. Krug R, Ono L, Quialheiro A, d’Orsi E, Ramos L, Xavier A. A Stimulation and rehabilitation program: Oficina da Lembrança. Rev Bras Ativ Fís Saúde. 2015;20(5):534-40.
15. American College of Sports Medicine. ACSM’s guidelines for exercise testing and prescription. 9nd ed. Philadelphia: Lippincott Williams & Wilkins; 2014.
16. Rikli RE, Jones CJ. Senior fitness test manual. 2nd ed. Champaign, IL: Human Kinetics Publishers Inc; 2013.
17. Folstein M, Folstein SE, Mchugh PR. Mini-mental state: A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(39):189-98.
18. Ihle, A, Gouveia, ÉR, Gouveia, BR, Kliegel, M. The Cognitive Telephone Screening Instrument (COGTEL): A brief, reliable, and valid tool for capturing interindividual differences in cognitive functioning in epidemiological and aging studies. Dement Geriatr Cogn Disord Extra. 2017;7(3):339-45.
19. Rubenstein LZ, Karker JO, Salva A, Guigoz Y, Vellas B. Screening for undernutrition in geriatric practice: developing the short-form Mini Nutritional Assessment (MNA-SF). J Ger Med Sci. 2001;56(6):366-72.
20. Voorrips LE, Ravelli AC, Dongelmans PC, Deurenberg P, Van Staveren W. A physical activity questionnaire for the elderly. Med Sci Sports Exerc. 1999;23(8):974-9.
21. Yesavage JA, Brink TL, Rose TL, Lum O, Huang V, Adey M, et al. Development and validation of geriatric depression scale. J Psychiatr Res. 1983;17(1):37-49.
22. Ribeiro JLP. O importante é a saúde: estudo de adaptação de uma técnica de avaliação do estado de saúde – SF – 36. Lisboa: Merck Sharp & Dolme; 2005.
23. Ribeiro JLP. Escala de Satisfação com o Suporte Social (ESSS). Análise Psicológica. 1999; 3(XVII):547-58.
24. Associação Brasileira de Empresas de Pesquisa (ABEP). Critério de classificação econômica Brasil. 2018. Disponível em: (http://www.abep.org).
25. Poon H, Calabrese V, Scapagnini G, Butterfield D. Free radicals: key to brain aging and heme oxygenase as a cellular response to oxidative stress. J Gerontol A Biol Sci Med Sci. 2004;59(5):478-93.
26. Hipkiss A. Accumulation of altered proteins and ageing: causes and effects. Exp Gerontol. 2006;41(5):464-73.
27. Gouveia ÉR, Maia JA, Beunen GP, Blimkie CJ, Fena EM, Freitas DL. Functional fitness and physical activity of Portugueses community-residing older adults. J Aging Phys Act. 2013;21(1):1-19.
28.Instituto Brasileiro de Geografia e Estatística (IBGE). Dados do Censo Demográfico. 2010. Disponível em: http://censo2010.ibge.gov. br/dados_divulgados/index.php?uf=31. Acesso em: 14 fev. 2017.
29.Grenn A, Rebok G, Lyketsos C. Influence of social network characteristics on cognitive and functional status aging. Int J Geriatr Psychiatry. 2008;23(9):972-8.
30. Xu X, Liang J, Bennett JM, Botoseneanu A, Allore HG. Socioeconomic and Multidimensional Health trajectories: Evidence of Convergence in Later Old Age. J Gerontol B Psychol Sci Soc Sci. 2014;70(4):661-71.

Downloads

Publicado

2018-08-23

Como Citar

1.
Tinôco MA de C, Gouveia Élvio R, Ihle A, Kliegel M, Jurema J, Machado FT, et al. Cognitive function and its associations in older adults from Amazonas, Brazil. Rev. Bras. Ativ. Fís. Saúde [Internet]. 23º de agosto de 2018 [citado 28º de março de 2024];23:1-8. Disponível em: https://rbafs.org.br/RBAFS/article/view/12831

Edição

Seção

Artigos Originais